Yi Zhang
Sales Team Lead at Alibaba Cloud
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolYi Zhang is a results-driven sales leader and cloud specialist with nine years of experience driving revenue and technical enablement at Alibaba Cloud International. Based in Hangzhou, she scaled a local sales team from 4 to 12 members and delivered a 30% year-over-year revenue increase while coaching multiple consultants to million-yuan sales. Her background combines deep client-facing cloud architecture expertise, proven troubleshooting and data-driven reporting, and a track record of top regional team performance. Beyond sales, she contributes to open-source ML/vision tooling—improving model integration and CUDA support in the SGLang project—bringing uncommon hands-on ML engineering experience for a sales lead. Trilingual academic training in business and English literature underpins her strong cross-cultural communication and client relationship skills.
9 years of coding experience
Bachelor's degree, Business, Bachelor's degree, Business at Heartland Community CollegeMaster's degree, English Language and Literature/Letters, A+, Master's degree, English Language and Literature/Letters, A+ at Dalian Neusoft University of Information
English, Chinese
Github Skills (5)
pytorch10
transformer10
llm10
inference9
cuda9
Programming languages (4)
Github contributions (5)
sgl-project/sglang
Jul 2024 - Apr 2025
SGLang is a fast serving framework for large language models and vision language models.
Role in this project:
ML Engineer
ML EngineerContributions:140 reviews, 22 PRs, 26 pushes in 8 months
Contributions summary:Yi primarily contributed to the `sglang` project by fixing bugs and optimizing the Qwen2VL model integration. Their work involved debugging the `forward_extend` functionality, implementing CUDA graph support, and resolving issues related to stop string configurations. They also addressed several bugs related to image inputs and MROPE position calculations. These contributions suggest a focus on improving the performance and stability of vision-language models within the SGLang framework.
cudadeepseekdeepseek-llmdeepseek-r1deepseek-r1-zero
yizhang2077/sglang
Sep 2024 - Dec 2024
SGLang is a fast serving framework for large language models and vision language models.
Contributions:1 PR, 40 pushes, 8 branches in 2 months
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